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Stanford study: AI success hinges on workflow, not model

By PulseAugur Editorial · [1 sources] ·

A new study from Stanford's Digital Economy Lab, "The Enterprise AI Playbook," reveals that successful AI adoption hinges on workflow redesign rather than the AI model itself. The research, which analyzed 51 high-impact AI deployments, found that 77% of practitioners identified change management, data quality, and process redesign as the biggest challenges, not the technology. Organizations that achieved measurable value from AI focused on integrating AI into existing processes and redesigning workflows to support new capabilities, with the AI model often being interchangeable. AI

IMPACT Successful AI integration depends on organizational change and workflow redesign, not just the technology itself.

RANK_REASON This article is an opinion piece by an industry practitioner, citing research but not presenting new findings or a product release.

Read on Forbes — Innovation →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Stanford study: AI success hinges on workflow, not model

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This article is an opinion piece by an industry practitioner, citing research but not presenting new findings or a product release.
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COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Emily Lewis-Pinnell, Forbes Councils Member ·

    Why The Model Isn’t The Hard Part, The Workflow Is

    A program that started with the team, not the tool, shifted the outcome.

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